DocumentCode
1048554
Title
Edge-labeling using dictionary-based relaxation
Author
Hancock, Edwin R. ; Kittler, Josef
Author_Institution
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Volume
12
Issue
2
fYear
1990
fDate
2/1/1990 12:00:00 AM
Firstpage
165
Lastpage
181
Abstract
An improved application of probabilistic relaxation to edge labeling is presented. The improvement derives from the use of a representation of the edge process that is internally consistent and which utilizes a more complex description of edge structure. The application uses a dictionary to represent permitted labelings of the entire context-conveying neighborhood of each pixel. Details are given of the dictionary approach and the related representation of the edge process. A comparison with other edge-postprocessing strategies is provided
Keywords
pattern recognition; picture processing; probability; dictionary-based relaxation; edge labeling; edge structure; pattern recognition; picture processing; pixel; probabilistic relaxation; Computer vision; Dictionaries; Distributed computing; Filtering; Image edge detection; Labeling; Layout; Lighting; Noise level; Noise reduction;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.44403
Filename
44403
Link To Document